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Industrial Recommender System

By Lantao Hu

Product Image: Industrial Recommender System

Industrial Recommender System

By Lantao Hu

0 - Default Title
Description
Recommender systems, as a highly popular AI technology in recent years, have been widely applied across various industries. They have transformed the way we interact with technology, influencing our choices and shaping our experiences. This book provides a comprehensive introduction to industrial recommender systems, starting with the overview of the technical framework, gradually delving into each core module such as content understanding, user profiling, recall, ranking, re-ranking and so on, and introducing the key technologies and practices in enterprises.
The book also addresses common challenges in recommendation cold start, recommendation bias and debiasing. Additionally, it introduces advanced technologies in the field, such as reinforcement learning, causal inference.
Professionals working in the fields of recommender systems, computational advertising, and search will find this book valuable. It is also suitable for undergraduate, graduate, and doctoral students majoring in artificial intelligence, computer science, software engineering, and related disciplines. Furthermore, it caters to readers with an interest in recommender systems, providing them with an understanding of the foundational framework, insights into core technologies, and advancements in industrial recommender systems.
The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.
Product details
Binding:
Paperback
Number of Pages:
264
Release Date:
2025-06-02
Publication Date:
2025-06-02
Publisher:
Springer
Languages:
Original: English
ISBN10:
9819725836
ISBN13:
9789819725830
GPSR Manufacturer Reference:
[email protected]
Weight:
406 g
Height:
155 cm
Width:
235 cm
Thickness:
15 cm
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